Astro Intelligence is a small engineering firm built around one idea: the most expensive and important problems often look normal from the outside. We work where the dashboards are green, the friction is still real, and the system needs a deeper explanation.
Cloud, AI, and platform work proven in regulated, high-stakes institutional environments.
Large-scale infrastructure and migration work executed without compromising continuity.
The bar is real-world load, real failure modes, and measurable proof.
Small team, high leverage, Fortune 500 proof.
Built by engineers who ship, not by presentation-heavy consulting teams.
Technical work grounded in systems thinking, not overhead.
Trusted by leaders across finance, healthcare, infrastructure, and AI operations
Cloud intelligence, infrastructure automation, and production-grade AI implementation all show up repeatedly because they sit at the intersection of technical reality and executive consequence.
We find the cost, architecture, and usage patterns enterprise tools miss, then turn those findings into a remediation path leadership can understand.
We reduce manual operational work by building systems that can self-document, self-heal, and scale without depending on constant human intervention.
Production AI — the kind that handles real load, real failure modes, and real scrutiny.
These principles shape delivery, research, and product work across the entire public site.
No hand-waving and no “AI says so.” Every recommendation should trace back to measurable proof, observable system behavior, or explicit uncertainty.
We do not stop at dashboards, ticket counts, or generic cost reporting. The job is to find the architectural mismatch or operating constraint underneath them.
A system that works 80% of the time is not a finished system. We design for continuity, edge cases, and the failure modes that matter in live environments.
An organization without operating boundaries does not have a real point of view. We are explicit about what we will and will not build.
Case-study surfaces, delivery arcs, and operating metrics arranged as one flagship proof system.
That pattern repeats across the strongest work in this repo: Azure waste discovery at Fidelity, large-scale platform automation at Bank of America, data and architecture work at Goldman Sachs, and security-constrained cloud engineering for NASA.
Uncovered and eliminated $22M in annual cloud waste by identifying Azure VDI configuration logic that standard monitoring never flagged.
Automated Citrix VDA installations and application migrations across 3,000+ services while maintaining 99.9% uptime for 60,000+ users.
Mapped Azure solutions to business problems, built automation frameworks, and designed data systems using Synapse and Databricks.
Designed Azure infrastructure and automation patterns for FISMA High (Federal Information Security) environments with strict security and delivery requirements.
Astro is not built for high-volume staffing. We add people when the bar is clear: senior engineers who can diagnose infrastructure, reason about AI systems in production, and write their way through ambiguity without adding overhead to the process.
Azure/cloud engineers, systems-minded AI builders, infrastructure automation specialists, and technical operators who have worked under real uptime and stakeholder pressure.
People looking for pure prompt engineering, presentation-heavy strategy work, or environments where technical rigor can be substituted with velocity shortcuts.
Send a concise note with the environments you have improved, the systems you have shipped, and the kinds of hard problems you naturally move toward.
We work best where there is enough complexity to justify real diagnosis and enough consequence to make the right fix matter.